Triple
T10366549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everest (2015 film) |
E244263
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Michael Kelly |
E124442
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Michael Kelly | Statement: [Everest (2015 film), starring, Michael Kelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Kelly Context triple: [Everest (2015 film), starring, Michael Kelly]
-
A.
Michael Kelly
Michael Kelly is an American sports executive best known for serving as the athletic director at the University of South Florida.
-
B.
Michael Kelly
chosen
Michael Kelly is an American actor best known for his role as Doug Stamper on the political drama series "House of Cards."
-
C.
Michael Kelly
Michael Kelly is a film editor best known for his work on the animated feature "The Rescuers Down Under."
-
D.
Michael Walsh
Michael Walsh is a common personal name shared by numerous individuals across various fields such as politics, sports, literature, and entertainment.
-
E.
Ian Donnelly
Ian Donnelly is a theoretical physicist and linguist who serves as one of the central human protagonists in the science fiction film "Arrival," working alongside Louise Banks to communicate with extraterrestrial visitors.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e96fd6f081908f630a16106996d9 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7953ba52881908d6d7e5b099c12d2 |
completed | April 9, 2026, 12:02 p.m. |
Created at: April 6, 2026, noon